Articles | Volume 22, issue 7
https://doi.org/10.5194/hess-22-3663-2018
https://doi.org/10.5194/hess-22-3663-2018
Research article
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10 Jul 2018
Research article | Highlight paper |  | 10 Jul 2018

On the dynamic nature of hydrological similarity

Ralf Loritz, Hoshin Gupta, Conrad Jackisch, Martijn Westhoff, Axel Kleidon, Uwe Ehret, and Erwin Zehe

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Cited articles

Applebaum, D.: Probability and Information, 1st Edn., Cambridge University Press, Cambridge, 1996. 
Arnaud, P., Bouvier, C., Cisneros, L., and Dominguez, R.: Influence of rainfall spatial variability on flood prediction, J. Hydrol., 260, 216–230, https://doi.org/10.1016/S0022-1694(01)00611-4, 2002. 
Ben-Naim, A.: A Farewell to Entropy, World Scientific, https://doi.org/10.1142/6469, 2008. 
Berghuijs, W. R., Sivapalan, M., Woods, R. A., and Savenije, H. H. G.: Patterns of similarity of seasonal water balances: A window into streamflow variability over a range of time scales, Water Resour. Res. 50, 5638–5661, https://doi.org/10.1002/2014WR015692, 2014. 
Beven, K. J.: Changing ideas in hydrology – The case of physically-based models, J. Hydrol., 105, 157–172, https://doi.org/10.1016/0022-1694(89)90101-7, 1989. 
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Short summary
In this study we explore the role of spatially distributed information on hydrological modeling. For that, we develop and test an approach which draws upon information theory and thermodynamic reasoning. We show that the proposed set of methods provide a powerful framework for understanding and diagnosing how and when process organization and functional similarity of hydrological systems emerge in time and, hence, when which landscape characteristic is important in a model application.